HARDWARE BENCHMARK & VRAM ENVELOPE โ€ข AI APPLIANCE118 GB VRAM โ€ข 273 GB/s

What Models Can Run on NVIDIA DGX Spark (128GB Grace-Blackwell Unified)?

118 GB VRAM273 GB/s Bandwidth170W TDPMSRP: $3,999Cloud: $1.29/hr on RunPod

NVIDIA DGX Spark (128GB Grace-Blackwell Unified) provides 118 GB of usable memory with 273 GB/s memory bandwidth at 170W TDP. 128GB Unified Memory with native CUDA + Blackwell FP4 support.

โœ… Runs 100% in GPU VRAM (Optimal Headroom)21.93 GB (19%)~11 t/s

Model & Target Hardware

interactive
Agentic Coding, Terminal Workflows & Multi-File Refactoring
Qwen 3.8 27B Instruct on NVIDIA DGX Spark (128GB Grace-Blackwell Unified)

โœ“ Fits Comfortably in VRAM

โœ“ FITS IN VRAM
Required VRAM
21.93 GB
19% of hardware capacity (118 GB)
Est. Decode Speed
~11 tok/s
Dense model @ 273 GB/s
Available Headroom
+96.07 GB
Safe for OS display & full context
Memory Allocation & Headroom
21.93 GB allocated of 118 GB capacity
19% utilized
Weights: 16.32 GB
KV: (32K): 4.29 GB
Overhead: 1.32 GB
Free Headroom: +96.07 GB
โšก Architecture & Throughput Transparency: Single-user decode speed (~11 tok/s) is memory-bandwidth bound at batch size = 1 on NVIDIA DGX Spark (128GB Grace-Blackwell Unified) (273 GB/s). Prompt prefill / TTFT (~160 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run qwen3.8:27b

Quantization Precision Matrix

32K ctx โ€ข KV: Q8_0
QuantizationWeightsKV CacheTotal VRAMEst. SpeedFit Status
FP1616 bpw54.4 GB4.29 GB61.34 GB (52%)~3 t/sFITS
Q8_08.5 bpw28.83 GB4.29 GB34.88 GB (30%)~6 t/sFITS
Q6_K6.56 bpw22.3 GB4.29 GB28.12 GB (24%)~8 t/sFITS
Q5_K_M5.68 bpw19.31 GB4.29 GB25.03 GB (21%)~9 t/sFITS
Q4_K_M4.8 bpw16.32 GB4.29 GB21.93 GB (19%)~11 t/sFITS
FP44.25 bpw14.42 GB4.29 GB19.96 GB (17%)~12 t/sFITS
IQ3_XS3.3 bpw11.15 GB4.29 GB16.58 GB (14%)~15 t/sFITS

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All Open-Weights Models Tested on NVIDIA DGX Spark (128GB Grace-Blackwell Unified) (Q4_K_M @ 32K Context)

Standard Q4_K_M precision with 32K context window and Q8_0 KV cache

12 Models Benchmarked
ModelArchitectureTotal VRAM NeededHeadroomEst. Decode SpeedCompatibilityDetailed Config
Qwen 3.8 27B Instruct
Alibaba Cloud
27.2B Dense21.93 GB(19%)+96.07 GB~11 tok/sโœ“ FITSConfigure CLI โ†’
Qwen 3.6 35B-A3B MoE
Alibaba Cloud
35B MoE24.1 GB(20%)+93.9 GB~83 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-V4.1-Flash (552B Engram MoE)
DeepSeek
552B MoE345.59 GB(293%)-227.59 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Meta Muse Spark Open (816B-A42B MoE)
Meta AI
816B MoE512.86 GB(435%)-394.86 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Google Gemma 4 26B MoE
Google
26.4B MoE20.23 GB(17%)+97.77 GB~56 tok/sโœ“ FITSConfigure CLI โ†’
Google Gemma 4 E4B (Edge 4B)
Google
4.1B Dense4.24 GB(4%)+113.76 GB~68 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 32B
DeepSeek
32.8B Dense25.41 GB(22%)+92.59 GB~9 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 14B
DeepSeek
14.8B Dense13.16 GB(11%)+104.84 GB~19 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 4 Scout (109B-A17B MoE)
Meta AI
109B MoE71.66 GB(61%)+46.34 GB~17 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 3.3 70B Instruct
Meta AI
70.6B Dense49.96 GB(42%)+68.04 GB~4 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 3.1 8B Instruct
Meta AI
8B Dense7.87 GB(7%)+110.13 GB~34 tok/sโœ“ FITSConfigure CLI โ†’
Microsoft Phi-4 Mini 3.8B
Microsoft
3.8B Dense3.92 GB(3%)+114.08 GB~74 tok/sโœ“ FITSConfigure CLI โ†’